Publications

B. Laleci Erturkmen, A. A. Sinaci, T. Namli, M. J. Boonstra, K. Lekadir, P. Gkontra, C. Chronaki, R. Facile, R. Baker, R. Kush, (07 November 2024), “An assessment of the European Patient Summary for clinical research: a case study in cardiology”, Frontiers in Medicine

J. Rodríguez-Miret, E. Farré-Maduell, S. Lima-López, L. Vigil, V. Briva-Iglesias, M. Krallinger (25 September 2024), “Exploring the Potential of Neural Machine Translation for Cross-Language Clinical Natural Language Processing (NLP) Resource Generation through Annotation Projection”, Information 2024

T. Namli, A. A. Sınaci, S. Gönül, C. Ruiz Herguido, P. Garcia-Canadilla, A. Modrego Muñoz, A. Valls Esteve, G. B. Laleci Ertürkmen (30 July 2024), “A scalable and transparent data pipeline for AI-enabled health data ecosystems”, Frontiers

Lima-López, E. Farré-Maduell, J. Rodríguez-Miret, M. Krallinger (28 May 2024), “MultiCardioNER Corpus: Multilingual Adaptation of Clinical NER Systems to the Cardiology Domain”, NHI National Institute of Allergy and Infectious Diseases Data Ecosystem

A. M. Salih, I. Boscolo Galazzo, P. Gkontra, E. Rauseo, A. Mark Lee, K. Lekadir, P. Radeva, S. E. Petersen, G. Menegaz (09 August 2024), “A review of evaluation approaches for explainable AI with applications in cardiology”, Spriger Link

S. Fundikira, P. Chillo, M. Z. Alimohamed, H. Mayala, E. Kifai, G. M. Aloyce, A. Kamuhabwa, G. Kwesigabo, L. W. van Laake, F. W. Asselbergs (29 Febrary 2024), “Characterization of Non-Ischemic Dilated Cardiomyopathy in a Native Tanzanian Cohort: MOYO Study”, Global Heart

N. Hukerikara, A. D. Hingorani, F. W. Asselbergs, C. Finan, A. F. Schmidt (26 January 2024), “Prioritising genetic findings for drug target identification and validation”, Atherosclerosis

A. Molenaar, B. J. Bouma, F. W. Asselbergs, N. J. Verouden, J. L. Selder, S. A. J. Chamuleau, M. J. Schuuring (22 January 2024), “Explainable machine learning using echocardiography to improve risk prediction in patients with chronic coronary syndrome”, European Heart Journal – Digital Health

J. Boonstra, D. Weissenbacher, J. H. Moore, G. Gonzalez-Hernandez,  F. W. Asselbergs (03 January 2024), “Artificial intelligence: revolutionizing cardiology with large language models”, European Heart Journal

S. van Royen, F. W. Asselbergs, F. Alfonso, P. Vardas,  M. van Smeden (28 October 2023), “Five critical quality criteria for artificial intelligence-based prediction models”, European Heart Journal

W. Asselbergs, D. Kotecha (21 September 2023), “The CODE-EHR global framework: lifting the veil on health record data”, European Heart Journal

S. Lima-López, E. Farré-Maduell, V. Brivá-Iglesias, L. Gascó, M. Krallinger (12 September 2023), “MEDDOPLACE Shared Task overview: recognition, normalization and classification of locations and patient movement in clinical texts”, Procesamiento del Lenguaje Natural

F. Schmidt, P. Leinveber, R. Panovsky, L. Soukup, P. Machac , R. R. van de Leur , A. Sammani, K. Lekadir, A. Ter Riele,  F. W. Asselbergs, M. J. Boonstra (11 September 2023), “DCM-PROGRESS: predicting end-stage heart failure in non-ischemic dilated cardiomyopathy patients”, MedRxiv

M. D. Danu, G. Marica, S. K. Karn, B. Georgescu, A. Mansoor, F. Ghesu, L. Mihai Itu, C. Suciu, S. Grbic, O. Farri, and D. Comaniciu (18 June 2023), “Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge“, Science Direct

A.F. Schmidt, M. Bourfiss, A. Alasiri, E. Puyol-Anton, S. Chopade, M. Van Vugt, S. W. Van Der Laan, C. Gross, C. Clarkson, A. Henry, T. R. Lumbers, P. Van Der Harst, N. Franceschini, J. C. Bis, B. K. Velthuis, A. S. J. M. Te Riele, A. D. Hingorani, B. Ruijsink, F. W. Asselbergs, J. Van Setten, and C. Finan (26 April 2023), “Druggable proteins influencing cardiac structure and function: Implications for heart failure therapies and cancer cardiotoxicity”, Science Advances

A. Salih, I. Boscolo Galazzo, P. Gkontra, A. M. Lee, K. Lekadir, Z. Raisi-Estabragh, and S. E. Petersen (12 April 2023), “Explainable Artificial Intelligence and Cardiac Imaging: Toward More Interpretable Models“, Circulation: Cardiovascular Imaging.

W. R. Punter, O. Papapetrou, M. Garofalakis (12 September 2023), “OmniSketch: Efficient Multi-Dimensional High-Velocity Stream Analytics with Arbitrary Predicates”, arXiv

D. Danu, G. Marica, S. K. Karn, B. Georgescu, A. Mansoor, F. Ghesu, L. Mihai Itu, C. Suciu, S. Grbic, O. Farri, D. Comaniciu (18 June 2023), “Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge”, Procedia Computer Science

A. Nentidis, A. Krithara, G. Paliouras, E. Farre Maduell; S. Lima Lopez; M. Krallinger, Martin (16 March 2023), Lecture Notes in Computer Science: “BioASQ at CLEF2023: The Eleventh Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge”, Advances in Information Retrieval

Dissemination Plan

Clinical acceptance criteria

Clear policy and guidance on pseudonymised and synthetic data processing in the clinical sector

First prototype of DataTools4Heart platform and user interface

Fifty percent DataTools4Heart toolbox components released at the appropriate software collections